Hugging Face Transformers: Patch release v4.56.1

Source available — automated, not human-reviewed

Component: transformers · Channel: stable. Automated analysis, not a compatibility certification. How this works.

Analysis updated: 2026-11-01.

Compatibility not verified — check source notes

$ python -m pip install 'transformers==4.56.1'

📄 .MD

🔧 Bug Fixes 6

⚡ Executive Summary (TL;DR)

Hugging Face Transformers v4.56.1. Source highlight: Patch release v4.56.1

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Who Does This Impact? (Role-Based Analysis)

💻 Software Engineers & Devs

Check the source notes against the package and APIs you use before upgrading.

📊 Product & Engineering Leads

Use the documented changes to assess relevance to your product; release frequency alone is not a quality measure.

⚙️ DevOps & Security

Verify the target version, runtime requirements and rollback procedure in the official documentation.

🔧 Bug Fixes & Patches (6)

Fix broken Llama4 accuracy in MoE part (#40609)
fix pipeline dtype (#40638)
Fix self.dropout_p is not defined for SamAttention/Sam2Attention (#40667)
Fix backward compatibility with accelerate in Trainer (#40668)
fix broken offline mode when loading tokenizer from hub (#40669)
[Glm4.5V] fix vLLM support (#40696)

📄 View Raw Release Notes (Original Developer Log)

# Patch release v4.56.1 This patch most notably fixes an issue with the new `dtype` argument (replacing `torch_dtype`) in pipelines! ## Bug Fixes & Improvements - Fix broken Llama4 accuracy in MoE part (#40609) - fix pipeline dtype (#40638) - Fix self.dropout_p is not defined for SamAttention/Sam2Attention (#40667) - Fix backward compatibility with accelerate in Trainer (#40668) - fix broken offline mode when loading tokenizer from hub (#40669) - [Glm4.5V] fix vLLM support (#40696)

← Older Version Hugging Face Transformers v4.56.0 Newer Version → Hugging Face Transformers v4.56.2